Pytorch预训练模型文件转化为onnx格式

转化为onnx格式"/>

Pytorch预训练模型文件转化为onnx格式

代码如下

#coding: utf-8
import torch
from model.wacnet import WACNet # 导入自己构建好的模型
# from collections import OrderedDict# 1.指定输入大小的shape
dummy_input = torch.randn(1, 3, 96, 96)# 2. 导入模型
model = WACNet()# 3. 载入模型参数, 'experiment/model_best.pt'为模型路径
# state_dict = torch.load('experiment/model_best.pt', map_location=lambda storage, loc: storage)
# new_state_dict = OrderedDict()
# for k, v in state_dict.items():
#     name = k[7:]  # remove 'module.' of DataParallel
#     new_state_dict[name] = v
model.load_state_dict(torch.load('experiment/model_best.pt', map_location='cpu'))# 4.导出onnx模型文件
torch.onnx.export(model, dummy_input, "model_best.onnx",verbose=True)